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Synonyme wurden verwendet für: Deep Learning
Suche ohne Synonyme: keywords:("Deep Learning")

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    Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction

    Cui, Zhiyong / Ke, Ruimin / Pu, Ziyuan et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Long short-term memory and gated recurrent neural networks to predict the ionospheric vertical total electron content

    Iluore, Kenneth / Lu, Jianyong | Elsevier | 2022
    Schlagwörter: Deep learning

    Methodology for generating synthetic labeled datasets for visual container inspection

    Delgado, Guillem / Cortés, Andoni / García, Sara et al. | Elsevier | 2023
    Schlagwörter: Deep Learning

    Mid-term prediction of at-fault crash driver frequency using fusion deep learning with city-level traffic violation data

    Wu, Yuan-Wei / Hsu, Tien-Pen | Elsevier | 2020
    Schlagwörter: Deep learning

    Modeling interpretable social interactions for pedestrian trajectory

    Liu, Qiujia / Shi, Xiaodan / Jiang, Renhe et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Modeling train operation as sequences: A study of delay prediction with operation and weather data

    Huang, Ping / Wen, Chao / Fu, Liping et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    MSGNN: A Multi-structured Graph Neural Network model for real-time incident prediction in large traffic networks

    Tran, Thanh / He, Dan / Kim, Jiwon et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Multi-community passenger demand prediction at region level based on spatio-temporal graph convolutional network

    Tang, Jinjun / Liang, Jian / Liu, Fang et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control

    Gong, Yaobang / Abdel-Aty, Mohamed / Yuan, Jinghui et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles

    Xing, Yang / Lv, Chen / Cao, Dongpu et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies

    Zhang, Zhengchao / Li, Meng / Lin, Xi et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations

    Li, Guopeng / Knoop, Victor L. / van Lint, Hans | Elsevier | 2021
    Schlagwörter: Deep learning

    Network-wide short-term inflow prediction of the multi-traffic modes system: An adaptive multi-graph convolution and attention mechanism based multitask-learning model

    Yang, Yongjie / Zhang, Jinlei / Yang, Lixing et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning

    Li, Zhenning / Yu, Hao / Zhang, Guohui et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Older driver at-fault crashes at unsignalized intersections in Alabama: Injury severity analysis with supporting evidence from a deep learning based approach

    Islam, Samantha / Hossain, Akhter B. / Shaban, Mohamed | Elsevier | 2023
    Schlagwörter: Deep learning

    On demand forecasting of demand-responsive paratransit services with prior reservations

    Chandakas, Ektoras | Elsevier | 2020
    Schlagwörter: Deep-learning

    One day ahead prediction of global TEC using Pix2pixhd

    Yang, Ding / Li, Qingfeng / Fang, Hanxian et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    On the estimation of traffic speeds with Deep Convolutional Neural Networks given probe data

    Rempe, Felix / Franeck, Philipp / Bogenberger, Klaus | Elsevier | 2021
    Schlagwörter: Deep learning

    Optimal design of composite grid/skin structures based on deep learning and Double-Double layup strategy

    Wang, Zhenyu / Zheng, Chuanxiang / Wang, Liang et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Parking occupancy prediction under COVID-19 anti-pandemic policies: A model based on a policy-aware temporal convolutional network

    Niu, Zhipeng / Hu, Xiaowei / Fatmi, Mahmudur et al. | Elsevier | 2023
    Schlagwörter: Deep learning

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